A survey of robot learning strategies for human-robot collaboration in industrial settings
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …
greater demand for manufacturers to be flexible with their products and services. This …
Gesture recognition for human-robot collaboration: A review
Recently, the concept of human-robot collaboration has raised many research interests.
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …
[HTML][HTML] Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review
Industry 5.0 aims at establishing an inclusive, smart and sustainable production process that
encourages human creativity and expertise by leveraging enhanced automation and …
encourages human creativity and expertise by leveraging enhanced automation and …
Dynamic hand gesture recognition using vision-based approach for human–computer interaction
In this work, a vision-based approach is used to build a dynamic hand gesture recognition
system. Various challenges such as complicated background, change in illumination and …
system. Various challenges such as complicated background, change in illumination and …
Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition
Hand gesture and action recognition have been extensively researched in the past two
decades due to the emerging advanced acquisition and interaction technologies, which …
decades due to the emerging advanced acquisition and interaction technologies, which …
Human behavior and hand gesture classification for smart human-robot interaction
This paper presents an intuitive human-robot interaction (HRI) framework for gesture and
human behavior recognition. It relies on a vision-based system as interaction technology to …
human behavior recognition. It relies on a vision-based system as interaction technology to …
Fast-gesture recognition and classification using Kinect: an application for a virtual reality drumkit
A Rosa-Pujazón, I Barbancho, LJ Tardón… - Multimedia Tools and …, 2016 - Springer
In this paper, we present a system for the detection of fast gestural motion by using a linear
predictor of hand movements. We also use the proposed detection scheme for the …
predictor of hand movements. We also use the proposed detection scheme for the …
HRI: human reasoning inspired hand pose estimation with shape memory update and contact-guided refinement
X Li, X Lin - Neural Computing and Applications, 2023 - Springer
Hand pose estimation is a challenging task in hand-object interaction scenarios due to the
uncertainty caused by object occlusions. Inspired by human reasoning from a hand-object …
uncertainty caused by object occlusions. Inspired by human reasoning from a hand-object …
Fuzzy qualitative human model for viewpoint identification
The integration of advance human motion analysis techniques in low-cost video cameras
has emerged for consumer applications, particularly in video surveillance systems. These …
has emerged for consumer applications, particularly in video surveillance systems. These …
Online robot teleoperation using human hand gestures: A case study for assembly operation
A solution for intuitive robot command and fast robot programming is presented to assemble
pins in car doors. Static and dynamic gestures are used to instruct an industrial robot in the …
pins in car doors. Static and dynamic gestures are used to instruct an industrial robot in the …